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DBMS > Apache IoTDB vs. BigchainDB vs. Microsoft Access vs. SpaceTime vs. ToroDB

System Properties Comparison Apache IoTDB vs. BigchainDB vs. Microsoft Access vs. SpaceTime vs. ToroDB

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonBigchainDB  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonSpaceTime  Xexclude from comparisonToroDB  Xexclude from comparison
ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)SpaceTime is a spatio-temporal DBMS with a focus on performance.A MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelTime Series DBMSDocument storeRelational DBMSSpatial DBMSDocument store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score0.85
Rank#208  Overall
#35  Document stores
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score0.03
Rank#392  Overall
#8  Spatial DBMS
Websiteiotdb.apache.orgwww.bigchaindb.comwww.microsoft.com/­en-us/­microsoft-365/­accesswww.mireo.com/­spacetimegithub.com/­torodb/­server
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlbigchaindb.readthedocs.io/­en/­latestdeveloper.microsoft.com/­en-us/­access
DeveloperApache Software FoundationMicrosoftMireo8Kdata
Initial release20182016199220202016
Current release1.1.0, April 20231902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoAGPL v3commercial infoBundled with Microsoft OfficecommercialOpen Source infoAGPL-V3
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaPythonC++C++Java
Server operating systemsAll OS with a Java VM (>= 1.8)LinuxWindows infoNot a real database server, but making use of DLLsLinuxAll OS with a Java 7 VM
Data schemeyesschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesnoyesyesyes infostring, integer, double, boolean, date, object_id
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nononono
Secondary indexesyesyesno
SQL infoSupport of SQLSQL-like query languagenoyes infobut not compliant to any SQL standardA subset of ANSI SQL is implemented
APIs and other access methodsJDBC
Native API
CLI Client
RESTful HTTP API
ADO.NET
DAO
ODBC
OLE DB
RESTful HTTP API
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
Go
Haskell
Java
JavaScript
Python
Ruby
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C#
C++
Python
Server-side scripts infoStored proceduresyesyes infosince Access 2010 using the ACE-engineno
Triggersyesyes infosince Access 2010 using the ACE-enginenono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)ShardingnoneFixed-grid hypercubesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasselectable replication factornoneReal-time block device replication (DRBD)Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infobut no files for transaction loggingnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByes infobut no files for transaction loggingyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlyesyesno infoa simple user-level security was built in till version Access 2003yesAccess rights for users and roles

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More resources
Apache IoTDBBigchainDBMicrosoft AccessSpaceTimeToroDB
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